Ref # A7
Location: Qatar-Doha
Job family: Corporate & Commercial
Closing Date:
As a Senior Manager ERM – Quantification & Scenario Modelling, you will lead the design and operationalisation of the Group's quantitative risk management capabilities, including Cash-Flow-at-Risk (CaR), EBITDA-at-Risk, Value-at-Risk (VaR), Monte Carlo simulation, and multi-factor scenario analysis. Working at the intersection of enterprise risk management, finance, treasury, and data analytics, you will translate complex risk exposures into measurable financial impacts that support strategic planning, budgeting, capital allocation, and Board-level decision-making.
This is a unique opportunity to establish and scale the Group's quantitative risk management capability from the ground up, including the design of its Cash-Flow-at-Risk (CaR), EBITDA-at-Risk, enterprise stress testing, and scenario modelling frameworks. The role will work directly with Executive Management and the Board Audit & Risk Committee, providing quantitative insights that influence major strategic, financial, and operational decisions across the Group.
Lead the development of a structured methodology for quantifying the impact of key enterprise risks, including top-down and bottom-up approaches, with clear linkage to the Group's risk taxonomy and risk register. Design and build financial impact assessment models using statistical and simulation-based techniques, enabling the Group to express risk exposures in quantifiable terms across defined time horizons and confidence intervals. Define risk-specific assumptions, probability distributions, loss curves, and impact parameters for material risk categories including fuel price, foreign exchange, passenger yield, cargo demand, geopolitical disruption, regulatory change, and operational incidents. Develop and maintain a risk factor taxonomy that categorises, defines, and maps quantifiable risk drivers to their corresponding business impact pathways. Collaborate with Finance, Treasury, Revenue Management, and other key stakeholders to validate model inputs, calibrate assumptions, and stress-test results using internal and external data sources. Own the production of risk-adjusted financial impact analyses for inclusion in Executive Risk Committee, Board Audit & Risk Committee, and senior management reporting. Continuously enhance quantification methodologies through benchmarking, model validation, industry best practices, and lessons learned from model performance. Influence decision-making at Executive and senior leadership levels through clear communication of quantitative risk insights. Define Key Risk Indicator (KRI) thresholds, trigger levels, and escalation logic for integration into risk dashboards and alignment with the Group's Risk Appetite Statement. Design and operationalise a fully functional Cash-Flow-at-Risk (CaR) capability, enabling probabilistic assessment of downside cash-flow outcomes across multiple risk scenarios. Develop and maintain EBITDA-at-Risk models that simulate earnings volatility arising from movements in multiple correlated risk factors. Develop and execute Monte Carlo simulation models to assess complex risk interactions and probability-based financial outcomes. Design and maintain stress testing and scenario analysis frameworks covering single-factor, multi-factor, reverse stress testing and emerging risk scenarios. Support the design, implementation, and enhancement of risk analytics dashboards including heatmaps, waterfall analyses, distribution curves, trend analyses, and executive reporting views. Contribute to the implementation and enhancement of quantitative risk capabilities within the Group's GRC platform, including Riskonnect. Establish quantitative risk management standards, model governance practices, and model validation procedures to ensure ongoing robustness and reliability. Build internal capability through mentoring, coaching, and developing quantitative risk methodologies and standards across the ERM function.
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.
Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before.
Together, everything is possible
Knowledge Skills & Experience
Bachelor's Degree in Finance, Economics, Mathematics, Statistics, Actuarial Science, Engineering, Quantitative Finance, Data Science, Operations Research, or a related quantitative discipline. Minimum 10 years of progressive experience in enterprise risk management, financial risk management, treasury risk, market risk, quantitative risk modelling, risk analytics, or stress testing. Minimum 5 years of hands‑on experience developing and operationalising financial risk models, scenario analysis frameworks, capital models, or enterprise stress testing capabilities within large and complex organisations. Demonstrable experience with quantitative approaches such as Monte Carlo simulation, probabilistic risk assessment, Cash-Flow-at-Risk (CaR), Value-at-Risk (VaR), EBITDA-at-Risk, stress testing. Experience translating risk exposures into measurable financial impacts and supporting strategic decision-making through quantitative analysis. Experience producing executive and Board-level risk reporting and presenting complex analytical findings to senior stakeholders. Strong understanding of risk governance frameworks, risk appetite, enterprise risk management principles, and Three Lines of Defence models. At least 4 years of people management and leadership experience. Aviation experience is beneficial but not required. Candidates from banking, financial services, insurance, treasury, quantitative risk, and consulting backgrounds are strongly encouraged to apply.
Professional certifications such as FRM, PRM, CFA, CQF, or equivalent quantitative risk credentials. Experience with quantitative modelling tools such as Python, R, MATLAB, SAS, @Risk, Crystal Ball or similar analytical platforms. Experience with GRC platforms and risk analytics solutions, preferably Riskonnect. Experience in aviation, transportation, energy, banking, insurance, investment management, or other highly complex risk environments. Experience supporting large-scale ERM, risk analytics, or GRC transformation programmes.
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community
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